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Biomass Facility Suitable Location Selection with Open-Source GIS and MCDM

Authors: Dogus Guler*, Department of Geomatics Engineering, Istanbul Technical University, Istanbul, Turkey, Georgios Charisoulis, Department of Geography, University of Colorado, Boulder, CO, USA, Barbara P. Buttenfield, Department of Geography, University of Colorado, Boulder, CO, USA, Tahsin Yomralioglu, Department of Geomatics Engineering, Istanbul Technical University, Istanbul, Turkey
Topics: Energy, Urban and Regional Planning, Sustainability Science
Keywords: Biomass energy, GIS, MCDM, BWM, Site selection, Turkey
Session Type: Paper
Presentation File: No File Uploaded


Nowadays, there are problems related to the inadequacy of energy resources due to the fast population growth and inevitable urban sprawl. For this reason, renewable energy resources are of vital importance in order to overcome these problems that endanger countries in terms of economic, social, and environmental factors. Renewable energy resources can contribute to the electric power grid as a means to sustain life. Biomass energy forms one of the most beneficial of these resources. This type of energy is able to be generated as a means of processing waste forms that are obtained from multiple sources, namely municipal solid waste and silage. The determination of suitable facility locations is a key matter to be effectively exploited from biomass energy. This paper proposes an approach to biomass facility location that integrates open-source GIS, fuzzy logic, and Best-Worst Method (BWM), which is a newly developed multi-criteria decision making (MCDM) methods to address optimal facility location. The proper locations are determined by taking different criteria into consideration, including biomass amount, slope, distances to roads and water bodies. By utilizing MCDM, it can be determined which criterion is most critical. Moreover, fuzzy logic allows intermediate values for suitability criteria and is preferable to boolean logic. The proposed approach is illustrated within the provinces of Turkey as an empirical case study.

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